Wavelet based multiresolution expectation maximizationreconstruction algorithm for positron emission tomography (PET)
Raheja, A.
Dhawan, A.P.
Dept. of Bioeng., Toledo Univ., OH;
This paper appears in: Nuclear Science Symposium, 1998. Conference Record. 1998 IEEE
Publication Date: 1998
Volume: 2,
On page(s): 1330-1331 vol.2
Meeting Date: 11/08/1998 - 11/14/1998
Location: Toronto, Ont., Canada
ISBN: 0-7803-5021-9
References Cited: 5
INSPEC Accession Number: 6382487
Digital Object Identifier: 10.1109/NSSMIC.1998.774399
Current Version Published: 2002-08-06
Abstract
The Maximum Likelihood estimation based Expectation Maximization
(EM) reconstruction algorithm has been shown to provide good quality
reconstruction for PET. The authors' previous work introduced the
multigrid concept for PET image reconstruction using EM. The
multiresolution EM (MREM) algorithm is an attempt to improve the EM
based estimation through an effective use of multi-resolution grids in
both image-reconstruction and detector spaces. The algorithm begins
iterating at the coarsest grid level using tube data that has been
re-organized (re-binned) at the coarsest detector level. It switches
both the grid and detector levels simultaneously until the finest
detector and grid resolution are reached. This algorithm incorporates a
wavelet decomposition based transition criterion for switching grid
levels and a wavelet spline based interpolation method for projecting
the intermediate reconstruction from a specific grid level to the next
finer grid
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